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Floca, R.O.* ; Bohn, J.* ; Haux, C.* ; Wiestler, B.* ; Zöllner, F.G.* ; Reinke, A.* ; Weis, J.* ; Nolden, M.* ; Albert, S.* ; Persigehl, T.* ; Norajitra, T.* ; Baeßler, B.* ; Dewey, M.* ; Braren, R.* ; Büchert, M.* ; Fallenberg, E.M.* ; Galldiks, N.* ; Gerken, A.* ; Götz, M.* ; Hahn, H.K.* ; Haubold, J.* ; Haueise, T. ; Große Hokamp, N.* ; Ingrisch, M.* ; Iuga, A.I.* ; Janoschke, M.* ; Jung, M.* ; Kiefer, L.S.* ; Lohmann, P.* ; Machann, J. ; Moltz, J.H.* ; Nattenmüller, J.* ; Nonnenmacher, T.* ; Oerther, B.* ; Othman, A.E.* ; Peisen, F.* ; Schick, F.* ; Umutlu, L.* ; Wichtmann, B.D.* ; Zhao, W.* ; Caspers, S.* ; Schlemmer, H.P.* ; Schlett, C.L.* ; Maier-Hein, K.* ; Bamberg, F.*

Radiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomics.

Insights Imaging 15:124 (2024)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
OBJECTIVES: Achieving a consensus on a definition for different aspects of radiomics workflows to support their translation into clinical usage. Furthermore, to assess the perspective of experts on important challenges for a successful clinical workflow implementation. MATERIALS AND METHODS: The consensus was achieved by a multi-stage process. Stage 1 comprised a definition screening, a retrospective analysis with semantic mapping of terms found in 22 workflow definitions, and the compilation of an initial baseline definition. Stages 2 and 3 consisted of a Delphi process with over 45 experts hailing from sites participating in the German Research Foundation (DFG) Priority Program 2177. Stage 2 aimed to achieve a broad consensus for a definition proposal, while stage 3 identified the importance of translational challenges. RESULTS: Workflow definitions from 22 publications (published 2012-2020) were analyzed. Sixty-nine definition terms were extracted, mapped, and semantic ambiguities (e.g., homonymous and synonymous terms) were identified and resolved. The consensus definition was developed via a Delphi process. The final definition comprising seven phases and 37 aspects reached a high overall consensus (> 89% of experts "agree" or "strongly agree"). Two aspects reached no strong consensus. In addition, the Delphi process identified and characterized from the participating experts' perspective the ten most important challenges in radiomics workflows. CONCLUSION: To overcome semantic inconsistencies between existing definitions and offer a well-defined, broad, referenceable terminology, a consensus workflow definition for radiomics-based setups and a terms mapping to existing literature was compiled. Moreover, the most relevant challenges towards clinical application were characterized. CRITICAL RELEVANCE STATEMENT: Lack of standardization represents one major obstacle to successful clinical translation of radiomics. Here, we report a consensus workflow definition on different aspects of radiomics studies and highlight important challenges to advance the clinical adoption of radiomics. KEY POINTS: Published radiomics workflow terminologies are inconsistent, hindering standardization and translation. A consensus radiomics workflow definition proposal with high agreement was developed. Publicly available result resources for further exploitation by the scientific community.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Computer-assisted ; Consensus Development Conference ; Image Processing ; Terminology ; Workflow; Lung-cancer; Prediction; Images
ISSN (print) / ISBN 1869-4101
e-ISSN 1869-4101
Zeitschrift Insights into Imaging
Quellenangaben Band: 15, Heft: 1, Seiten: , Artikelnummer: 124 Supplement: ,
Verlag Springer
Verlagsort Prinz-eugen-strasse 8-10, A-1040 Vienna, Austria
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Förderungen Projekt DEAL
German Federal Ministry of Education and Research (BMBF)
HiGHmed Consortium
Helmholtz Imaging (HI), a platform of the Helmholtz Incubator on Information and Data Science
Helmholtz Metadata Collaboration (HMC), Hub Health, a platform of the Helmholtz Incubator on Information and Data Science
Deutsche Forschungsgemeinschaft (DFG, German Research foundation)